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Employment type in the employer’s posting: Full timeFrom the employer’s posting
Develop and improve ingestion and transformation pipelines
Own and improve the Data Lake and data platform
Own ETL processing, table refreshes and defect resolution
Ship cloud-native data solutions via CI/CD in Agile teams
Developing and improving ingestion and transformation pipelines
Owning and improving the organisation's Data Lake environment and data platform
Owning ETL processing, table refreshes, defect resolution, and other BAU activities
Working within Agile delivery frameworks to ship high‑quality, cloud‑native data solutions via CI/CD
Hands-on experience with DBT and Apache Airflow
Engineering experience using Python and SQL
knowledge of data modelling, ETL/ELT, data warehousing and scalable data pipelines
The ability to lead and develop Data Engineers
An interest in AI and automation
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
How you'll contribute - Developing and improving ingestion and transformation pipelines using technologies such as Spark, Scala, Python, AWS, DBT, and Snowflake - Owning and improving the organisation's Data Lake environment and data platform. Ensuring it remains robust, scalable, and future‑ready
- Manage task dependencies, automated retries and error handling to ensure reliable pipeline execution with minimal manual intervention. - Engineering experience using Python and SQL, with the ability to solve complex data problems at scale. - The ability to design and guide modern data engineering solutions, with knowledge of data modelling, ETL/ELT, data warehousing and scalable data pipelines.
We're looking for these essential skills - Hands-on experience with DBT and Apache Airflow, building scalable data transformations and DAGs to orchestrate complex, reliable data pipelines. - Manage task dependencies, automated retries and error handling to ensure reliable pipeline execution with minimal manual intervention.
- An interest in AI and automation, with the technical curiosity to explore how emerging technologies could improve engineering quality, productivity and ways of working. We know great candidates don't always meet every requirement. If you have strong data engineering foundations, hands-on DBT experience and experience solving sophisticated problems at scale, we'd encourage you to apply even if you haven't worked with every technology listed above. The impact you’ll make
Complete your application on newday.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Yes. We’ve followed 2 other Data Engineer jobs there since May 2026. 2 came down, usually after about 16 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Are you ready to shape the backbone of a data‑driven organisation? NewDay are looking for a Data Engineer to help us design, build, and evolve the core pipelines and platforms that power analytics, reporting, and sophisticated data science across our business.
Why this role matters
You’ll play a central role in ensuring data flows reliably and efficiently at scale. You will directly enable faster insights, smarter decision‑making, and a resilient data ecosystem that supports everything from operational reporting to ground breaking modelling.
How you'll contribute
We're looking for these essential skills
We know great candidates don't always meet every requirement. If you have strong data engineering foundations, hands-on DBT experience and experience solving sophisticated problems at scale, we'd encourage you to apply even if you haven't worked with every technology listed above.
The impact you’ll make
Your work will strengthen the foundation of our entire data landscape. By improving reliability, reducing manual intervention, and accelerating time to insight, you’ll help unlock new opportunities for analytics, innovation, and strategic growth.
Externally this job title might also be known as Data Platform Engineer.
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#LI-TM1
At NewDay, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.
Tell us if you need accommodations: We’ll put reasonable adjustments in place to support you.
We work with Textio to make our job design and hiring inclusive.
PermanentSelected passages from the saved posting. Check the full description for conditions and exceptions.
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London
Externally this job title might also be known as Data Platform Engineer. #LI-Hybrid #LI-TM1
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